Boostlet.js: Image processing plugins for the web via JavaScript injection

• URL: http://arxiv.org/abs/2405.07868v1
• Date: Mon, 13 May 2024 15:57:19 GMT
• Title: Boostlet.js: Image processing plugins for the web via JavaScript injection
• Authors: Edward Gaibor, Shruti Varade, Rohini Deshmukh, Tim Meyer, Mahsa Geshvadi, SangHyuk Kim, Vidhya Sree Narayanappa, Daniel Haehn,
• Abstract summary: Boostlet.js provides an open-source, JavaScript-based web framework to enable image processing functionalities. Examples include kernel filtering, image captioning, data visualization, segmentation, and web-optimized machine-learning models.
• Score: 1.6788471105762233
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Can web-based image processing and visualization tools easily integrate into existing websites without significant time and effort? Our Boostlet.js library addresses this challenge by providing an open-source, JavaScript-based web framework to enable additional image processing functionalities. Boostlet examples include kernel filtering, image captioning, data visualization, segmentation, and web-optimized machine-learning models. To achieve this, Boostlet.js uses a browser bookmark to inject a user-friendly plugin selection tool called PowerBoost into any host website. Boostlet also provides on-site access to a standard API independent of any visualization framework for pixel data and scene manipulation. Web-based Boostlets provide a modular architecture and client-side processing capabilities to apply advanced image-processing techniques using consumer-level hardware. The code is open-source and available.

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